Vadim S. Ten
- Molecular Biology top 10%
- Pediatrics, Perinatology and Child Health top 2%
- Pulmonary and Respiratory Medicine top 5%
- Neurology top 5%
- Surgery
- Co-authors
- Anatoly A. StarkovVeniamin RatnerDavid J. PinskySergey A. SosunovZoya NiatsetskayaIrina Utkina-SosunovaRichard A. PolinAlexander Galkin
- Topics
- Mitochondrial Function and Pathology (25 papers)Neonatal and fetal brain pathology (24 papers)Anesthesia and Neurotoxicity Research (11 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Vadim S. Ten
60 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 786
- Pediatrics, Perinatology and Child Health 540
- Pulmonary and Respiratory Medicine 512
- Neurology 257
- Surgery 255
Countries citing papers authored by Vadim S. Ten
This map shows the geographic impact of Vadim S. Ten's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vadim S. Ten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vadim S. Ten more than expected).
Fields of papers citing papers by Vadim S. Ten
This network shows the impact of papers produced by Vadim S. Ten. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vadim S. Ten. The network helps show where Vadim S. Ten may publish in the future.
Co-authorship network of co-authors of Vadim S. Ten
This figure shows the co-authorship network connecting the top 25 collaborators of Vadim S. Ten. A scholar is included among the top collaborators of Vadim S. Ten based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vadim S. Ten. Vadim S. Ten is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 12 | |
| 4 | 5 | |
| 5 | 52 | |
| 6 | Abstract 10968: Neuroprotectin D1 Induces Protection After Brain Ischemic Injury in a Mouse Stroke Model by Blocking Mitochondria-mediated Cell Death Pathways | 1 |
| 7 | 36 | |
| 8 | 30 | |
| 9 | 7 | |
| 10 | 63 | |
| 11 | 23 | |
| 12 | 37 | |
| 13 | 24 | |
| 14 | 86 | |
| 15 | 68 | |
| 16 | 19 | |
| 17 | 5 | |
| 18 | 21 | |
| 19 | 19 | |
| 20 | 137 |
About Vadim S. Ten
Vadim S. Ten is a scholar working on Developmental Neuroscience, Clinical Biochemistry and Pediatrics, Perinatology and Child Health, having authored 60 papers that have together received 2.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (25 papers), Neonatal and fetal brain pathology (24 papers) and Anesthesia and Neurotoxicity Research (11 papers). The work is most often cited by research in Developmental Neuroscience (163 citations), Endocrine and Autonomic Systems (233 citations) and Neurology (257 citations). Vadim S. Ten has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Anatoly A. Starkov, Veniamin Ratner, David J. Pinsky, Sergey A. Sosunov, Zoya Niatsetskaya, Irina Utkina-Sosunova, Richard A. Polin, Alexander Galkin, Raymond I. Stark and Dzmitry Matsiukevich. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.